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To prevent representation inconsistencies between interaction and training phases, ProRL AGENT employs token identifiers as the standard format throughout the workflow. Probability data and identifiers transfer directly from inference engines to the learning module without modification.
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进一步分析发现，We create specialized tool functions for mathematical calculations and time retrieval with restricted execution. We add these tools to a toolkit and examine their automatically produced JSON schemas to comprehend how AgentScope makes them available. We then mimic a direct tool invocation to verify the tool execution process functions properly.
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面对These Sams带来的机遇与挑战，业内专家普遍建议采取审慎而积极的应对策略。本文的分析仅供参考，具体决策请结合实际情况进行综合判断。